Many state-of-the-art lane detection algorithms were proposed such as [1]} [2]}. If lane detection can work flawlessly, we can get the lane number from the lane detection results without any problems. However, in fact, in some conditions such as low light conditions, lane detection algorithms perform less well than expected [3]}. Therefore, we came up with the idea that we could utilize the result from lane detection, which is sometimes imperfect, to predict the lane number.
